Dataset · Hugging Face

mteb/AutoRAGRetrieval

Name: AutoRAGRetrieval
Creator: mteb
License: mit
Keywords: task_categories:text-retrieval, task_ids:document-retrieval, annotations_creators:human-annotated, multilinguality:monolingual, language:kor, license:mit, size_categories:n<1K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2410.20878, arxiv:2502.13595

AutoRAGRetrieval An MTEB dataset Massive Text Embedding Benchmark This dataset enables the evaluation of Korean RAG performance across various domains—finance, public sector, healthcare, legal, and commerce—by providing publicly accessible documents, questions, and answers. Task categoryt2t Domains Government, Medical, Legal, Social, Financial Reference https://arxiv.org/abs/2410.20878 How to evaluate on this task You can evaluate an embedding model on… See the full description on the dataset page: https://huggingface.co/datasets/mteb/AutoRAGRetrieval.

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Author / organization	mteb
License (as declared)	mit
Downloads	210 (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	6 May 2025

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